Effects of Alcohol Policy on Population Variables and Control Measures

This case study of Dodoma Municipal Council focuses on the application of statistical tools to establish Population Variables (PVs) affected by alcohol and suggested control measures. The establishment relied on primary data involving a sample size of 156 respondents selected through purposive sampling and analyzed by cross-tabs and Chi-square. The analysis found alcohol policy affects mostly the lower-educated population, small householders and youths, and these were significant at 0.029, 0.002, and 0.006 levels, respectively. The inferences drawn shows within PVs, alcohol reduces students' performances, influences separation of families, and increases poverty in the households, and all were significant at 0.003, 0.028, and 0.003, respectively. The findings conclude that alcohol affects all PVs, which consequently ends up deteriorating welfare. Therefore, to combat alcohol, the chapter recommends usage policy legal measures and educating the masses on the effect of alcohol.